制粉系统抗扰动预测控制算法研究

为了提高火电厂制粉控制系统抗扰动的能力,在综合考虑制粉系统中各被控量历史输出和预测输出的基础上,提出一种改进的制粉系统多模型预测控制算法.该算法将对被控量偏差的比例、积分、微分作用引入到目标函数中,以改善系统动态调节过程,减小一次风流量和磨出口温度的波动,对于一次风的精确配风有重要意义.仿真结果表明,所提出算法能够提高制粉系统抗煤水分扰动的能力和工况大范围变动时的稳定性,实现制粉系统安全、稳定、经济运行.

Research on predictive control algorithm for suppressing disturbance in pulverizing system

In order to improve the ability of suppressing disturbance in the pulverizing system, an improved multi-model predictive control algorithm is designed on the basis of considering the historical output and predicted output of each controlled variable in pulverizing system. The algorithm introduces the proportion, integral and differential effect on the deviation of the controlled variables in the objective function, thus improving the dynamic regulation process of the system and reducing the fluctuation of the primary air flow and the outlet temperature, which is important to the precise distribution of the primary air. Simulation results show that the proposed algorithm can improve the ability of the system to resist the disturbance of coal moisture and the stability of a wide range of operating conditions and can realize the safe, stable and economic operation of the pulverizing system.